Cris Behrens

Key Skills

Software

AWS SageMaker

Appen

CVAT

Labelbox

LabelImg

Prodigy

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Image

Text

Top Task Types

Action Recognition

Audio Recording

Bounding Box

Data Collection

Segmentation

Freelancer Overview

I have strong experience working with large datasets, statistics, and pattern recognition, combined with a background in product management for AI-powered software products. While new to hands-on AI training data labeling, I bring valuable skills in categorization, segmentation, and data organization, supported by advanced spreadsheet and data formatting capabilities. Additionally, I have a keen eye for detail and content quality, allowing me to produce accurate and consistent training data. I am eager to apply my analytical mindset, attention to detail, and experience with structured data to support AI training projects effectively.

Labeling Experience

AI Training Data Annotation for Multimedia Content

AppenVideoBounding BoxSegmentation

Collaborated with AI development teams to annotate and label large-scale multimedia datasets including images, videos, and audio clips. Tasks involved classifying visual content, drawing bounding boxes around objects, segmenting image regions, and transcribing audio for speech recognition models. Ensured labeling consistency and quality by applying standardized guidelines and performing regular quality checks. Worked with cross-functional teams to refine annotation workflows, optimize data preparation, and support iterative model training cycles.

Collaborated with AI development teams to annotate and label large-scale multimedia datasets including images, videos, and audio clips. Tasks involved classifying visual content, drawing bounding boxes around objects, segmenting image regions, and transcribing audio for speech recognition models. Ensured labeling consistency and quality by applying standardized guidelines and performing regular quality checks. Worked with cross-functional teams to refine annotation workflows, optimize data preparation, and support iterative model training cycles.

2024 - 2024

Education

Work History